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Master Thesis in GPU-Accelerated Implementation and Optimization of a Packet-Level Peeling Decoder

Deutsches Zentrum für Luft- und Raumfahrt e.V.

ThesisGerman needed: none
Still open on 1 Nov

Key facts

Pay
Paid by a public sector pay scale (TVöD-Bund)
Language needed
English

What you'll do

  • The tasks involve writing clean and performant C code, experimenting with parallel computing via CUDA kernels, and handling efficient memory/cache management.
  • The candidate is expected to work with a high degree of self-reliance on the practical software development.

What you need

  • Advanced and solid programming skills in C/C++.
  • Strong interest in parallel computing (CUDA) and/or low-level software optimization.
  • Basic understanding of memory hierarchies or cache management is beneficial (a background in CUDA or ARM SIMD/Neon Intrinsics is a plus, but not mandatory).
  • High degree of self-reliance, proactivity, and dependability.
  • Proficiency in English; a general background in telecommunications or networking is welcome, but not strictly required.

What you get

  • We promote independent work and the individual development of our employees both personally and professionally.
  • To this end, we offer numerous training and development opportunities.

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